Data Visualization for airplane accident 2008-2022


Reason of the interest

On 2022 March, there are a flight accident in China occurred on the route to my city, Guangzhou. The whole country were in sadness because of the flight tragedy. As human beings, we can easily imagine that the love ones of those travelers who were waiting at the destination city were heart-broken. Therefore, I want to analyze the data to visualize what factors lead to flight accidents based on the public data, what dangerous factors we can avoid to get a safer trip. Therefore, I intentionally selected the recent 15 years (2008-2022) flight accident data to illustrate.

About the Data Source

For this project, I used data from Kaggle by searching term “flight accidents.” You can download the complete dataset here, which contains 6109 flight accidents information in recent 15 years. The dataset include 26 variables, e.g., location, year, number of fatality, flight operator, injury level etc.. The original data is extracted from from ICAO (International Civil Aviation Organization) API, occurred in the last 15 years (from Jan 2008 to May 2022). Original ICAO API datasets link is available here. API key required, with 100 free calls available using a company email for subscription.

Audience

The intended audience of this visualization is for general travelers who care about flight safety. The visualization should not require any knowledge background to interpret.

Research Questions:

  1. Which phases during the flight is the most easy to cause accidents?
  2. Where is the location is the most frequent to have flight accidents?
  3. What factors create the most fatal number in the flight accidents?

Data Visualization for airplane accident 2008-2022


Reason of the interest

On 2022 March, there are a flight accident in China occurred on the route to my city, Guangzhou. The whole country were in sadness because of the flight tragedy. As human beings, we can easily imagine that the love ones of those travelers who were waiting at the destination city were heart-broken. Therefore, I want to analyze the data to visualize what factors lead to flight accidents based on the public data, what dangerous factors we can avoid to get a safer trip. Therefore, I intentionally selected the recent 15 years (2008-2022) flight accident data to illustrate.

About the Data Source

For this project, I used data from Kaggle by searching term “flight accidents.” You can download the complete dataset here, which contains 6109 flight accidents information in recent 15 years. The dataset include 26 variables, e.g., location, year, number of fatality, flight operator, injury level etc.. The original data is extracted from from ICAO (International Civil Aviation Organization) API, occurred in the last 15 years (from Jan 2008 to May 2022). Original ICAO API datasets link is available here. API key required, with 100 free calls available using a company email for subscription.

Audience

The intended audience of this visualization is for general travelers who care about flight safety. The visualization should not require any knowledge background to interpret.

Research Questions:

  1. Which phases during the flight is the most easy to cause accidents?
  2. Where is the location is the most frequent to have flight accidents?
  3. What factors create the most fatal number in the flight accidents?